Top Tech Jobs & Startup Jobs in Chicago, IL

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

The DevOps Engineer will lead multiple client projects, design and support applications, and mentor other engineers, utilizing modern development practices and technologies.

Work with clients to elicit, document, and validate business and technical requirements; decompose requirements into user stories; facilitate Agile ceremonies; support product discovery, prototyping, and data-driven analysis; manage risks and ensure timely delivery across cross-functional teams.

Design and lead cloud-native data architectures and end-to-end ELT/ETL pipelines across major cloud platforms. Build and optimize data lakes/warehouses, enforce data security and governance, implement IaC and CI/CD, conduct data profiling, and advise clients on AI/ML integration while mentoring delivery teams.

Lead end-to-end technical delivery for custom software, data, analytics, and digital transformation programs. Drive product ideation, scoping, solution design, estimation, and cloud-based architecture. Manage teams, budgets, risks, client relationships, and performance metrics while leveraging automation and Agile practices to deliver business value.

The role involves managing client engagements, driving sales and project delivery, mentoring team members, and advising on emerging technologies.

Lead cross-functional development teams and partner with senior stakeholders to define and deliver end-to-end software solutions. Own architecture and full SDLC, design and support mission-critical systems, set architecture standards and best practices, mentor engineers, and integrate cloud, containerization, CI/CD, database, and AI/ML technologies into scalable applications.

The Principal Consultant drives client engagement, identifies business challenges, crafts solutions, mentors consultants, and oversees project delivery and execution.

Design and deploy scalable ML infrastructure, implement CI/CD for models, monitor production models, build generative AI solutions, ensure security/compliance, preprocess/analyze data, develop and fine-tune models (TensorFlow/PyTorch), and communicate results to stakeholders. Onsite presence may be required.